The Centre for Innovation, Research and Competence in the Learning Economy (CIRCLE) is an interdisciplinary research centre situated in Lund, Sweden. It is spanning several faculties at Lund University and Blekinge Institute of Technology. The activities cover the field of innovation, entrepreneurship, knowledge creation and economic growth.
Blockchain systems that settle financial transactions face a structural tension: the validator that assembles each block holds unilateral power over transaction inclusion and ordering. Traditional markets curb this power through laws that prevent front-running and market manipulation. Regulators have flagged the absence of such rules as a first-order concern for blockchain-based financial infrastructure. To address this tension, we introduce AMP, Arc multi-proposer protocol where no single validator fully controls the flow of transactions into blocks. AMP composes with a broad class of BFT consensus algorithms in which explicit validator votes determine decisions. Any node can act as a proposer, collecting user transactions, bundling them into payloads, and broadcasting those payloads to all validators. Validators attest to received payloads by embedding payload identifiers in the votes cast to reach a consensus decision. This yields the key guarantee, bounded inclusion: any payload attested by more than 2f validators at height h must appear in the block finalized at height h+1. A deterministic ordering function over finalized payloads curbs any single validator's ordering discretion. AMP decouples dissemination from agreement, inherits safety and liveness from the underlying BFT algorithm, and removes the need for a shared transaction pool (mempool). We prove correctness formally, including the bounded-inclusion guarantee within one consensus height.
We introduce MemoriesDB, a unified data architecture designed to avoid decoherence across time, meaning, and relation in long-term computational memory. Each memory is a time-semantic-relational entity-a structure that simultaneously encodes when an event occurred, what it means, and how it connects to other events. Built initially atop PostgreSQL with pgvector extensions, MemoriesDB combines the properties of a time-series datastore, a vector database, and a graph system within a single append-only schema. Each memory is represented as a vertex uniquely labeled by its microsecond timestamp and accompanied by low- and high-dimensional normalized embeddings that capture semantic context. Directed edges between memories form labeled relations with per-edge metadata, enabling multiple contextual links between the same vertices. Together these constructs form a time-indexed stack of temporal-semantic surfaces, where edges project as directional arrows in a 1+1-dimensional similarity field, tracing the evolution of meaning through time while maintaining cross-temporal coherence. This formulation supports efficient time-bounded retrieval, hybrid semantic search, and lightweight structural reasoning in a single query path. A working prototype demonstrates scalable recall and contextual reinforcement using standard relational infrastructure, and we discuss extensions toward a columnar backend, distributed clustering, and emergent topic modeling.
DNA vaccines have garnered considerable attention due to their recent success in humans for SARS-CoV-2 and immunotherapy for cancer. However, conventional methods for creating and manufacturing DNA vaccines at-scale are slow and rate-limiting for timely response. Herein, we introduce a rapid and completely synthetic workflow that harnesses enzymes to create bulk DNA from a sequence text file. This synthetic workflow termed Enzymatic DNA Synthesis Rolling-Circle Amplification (EDS-RCA) leverages multiple enzymes to print DNA oligos and assemble them into genes prior to cloning into circular constructs for rolling-circle amplification (RCA). We show that the resulting EDS-RCA DNA elicits comparable vaccine immunogenicity as standard plasmid format, despite the DNA being a large concatemeric repeat. The EDS-RCA method generated the hemagglutinin gene of H1N1 at a mean per-base error rate as low as 1 mutation every 10,000 bases and, upon DNA vaccination, elicited strong antibody and cellular immune responses. Skin delivery of EDS-DNA using gene gun facilitated striking vaccine dose-sparing capabilities in comparison to intramuscular electroporation methods. In total, DNA vaccines produced by EDS-RCA are immunogenic and amenable to numerous delivery-modalities with preclinical mouse models and could offer an alternative for rapid scale-up of DNA vaccines for future human use.
There is a growing interest in the development of microelectronics that can perform reliably and robustly at temperatures above 300 °C. Such devices require stable thermal properties, low thermal drift, and thermal cycling resistance. Conventional hybrid circuit technology demonstrates high‐temperature packages, but the high costs and lead time are significant drawbacks. In contrast, additive manufacturing processes, including aerosol jet printing (AJP), offer cost and time benefits, as well as 3D structures and embedded features. However, the properties and reliability of additive packaging materials at extreme temperatures are not well known. Herein, the reliability at temperatures up to 750 °C in terms of electrical performance and mechanical strength of aerosol jet printed gold thick films onto ceramic substrates are assessed. Thermal coefficient of resistance of printed gold films is measured. The electrical resistance stability and leakage current of printed gold structures are also characterized during over 100 h of aging at temperatures up to 750 °C. Finally, the mechanical adhesion strength of the printed gold films is evaluated after aging for 100 h at temperatures up to 750 °C. The adhesion of the printed gold to the ceramic substrates remains high after aging, very stable resistances and minimal leakage currents have been observed.
Aims/Objectives: In this paper, we define certain classes of non-zeroes of the Riemann zeta function. We also present associated algorithms for finding these non-zeroes, which can enable corresponding computations. Some theoretical connections are also drawn with mixed integer programming and continuous Diophantine approximation. We also study, for points in the domain of the Riemann zeta function, their induced distributions over the unit circle.
